GraduateMathematics
Master of Biostatistics
University of Melbourne, Melbourne, VIC, Australia
About this program
The Master of Biostatistics at the University of Melbourne teaches students to design and analyse health studies and communicate findings to other health professionals, applying computational analysis to real health datasets. Students choose between five core subjects, five electives and a biostatistics research project, or a capstone selective with a shorter research project, studied full-time or part-time, face-to-face or online.
Graduates can become accredited with the Statistical Society of Australia, working in Australia or internationally on questions from disease prevention to patient treatment.
Fees & duration
English test scores
Verified study.unimelb.edu.au ↗
Course structure
Study plan in 4 parts
Students must complete the following core subjects
- Epidemiology 1
- Introduction to Statistical Computing
- Foundations of Regression
- Probability & Inference in Biostatistics
- Advanced Regression
Students must select FIVE electives from the following list
- Clinical Biostatistics
- Health Indicators and Health Surveys
- Longitudinal and Correlated Data
- Digital Transformation of Health
- Computational Statistics & Data Science
- Causal Inference
- Design of Randomised Controlled Trials
- Infectious Diseases Modelling
- Practice of Statistics & Data Science
- Epidemiology 2
- Database Systems & Data Modelling
- Programming and Software Development
- Bayesian Statistical Methods
- Health Economics 1
- and 3 more subjects
OPTION ONE
- Biostatistics Research Project Part 1
- Biostatistics Research Project Part 2
- Biostatistics Research Project - D
Subjects
- Biostatistics Research Project - S
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
Assessed by VETASSESS
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
To be considered for entry into this course, you must: Have completed a bachelor degree (AQF7) in a cognate (relevant) discipline with a weighted average mark (WAM) of 65%, or equivalent. Cognate (relevant) disciplines include: Statistics, mathematics, biomedicine, psychology, science, pharmacy, health sciences and economics. And Have completed below prerequisite subject(s): at least one tertiary-level mathematics subject, which includes elements of multivariable calculus and linear algebra, with a score of at least 70%. The University of Melbourne is committed to maintaining a transparent admissions policy by clearly communicating all entry scores to prospective students. Entry requirements to the University of Melbourne are regularly reviewed to ensure they align with the University's Selection and Admissions Policy . The entry requirements published for this course will apply from the
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